5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion

Citation Author(s):
Hyowon
Kim
Hanyang University
Karl
Karl Granstrom
Chalmers University of Technology
Lin
Gao
Universita degli Studi di Firenze
Giorgio
Battistelli
Universita degli Studi di Firenze
Sunwoo
Kim
Hanyang University
Henk
Wymmersch
Chalmers University of Technology
Submitted by:
Hyowon Kim
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/hyfa-fa96
Research Article Link:
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Abstract 

The uploaded video files show the map PHD with the simulation scenarios for the cases: i) 5G SLAM (without map fusion); ii) 5G ooperative positioning and mapping. These results are obtained from the paper submitted to the IEEE Transactions on Wireless Communications.

 

Two vehicles are moving along with the circular road. Due to cooperation by map fusion, there is performance gain in detecting the SP which has the limited FoV.

 

 

 

Instructions: 

The details of the simulation settings are described in the paper uploaded in https://arxiv.org/abs/1908.09806, and complete source code is available at https://github.com/HyowonKim-P1/5GmmWavePHDFilterMapFusion.

 

 

Comments

5G cooperative positioning and mapping

Submitted by Hyowon Kim on Thu, 12/19/2019 - 05:35